Abstract
The problem of land degradation, being extremely actual over the planet and especially in arid zones, requires imminent scientific attention to outline territories affected with degradation, and develop effective measures to withstand the problem. The use of remotely sensed data proves as a cost-effective and informative tool for land surface monitoring. Moreover, remote sensing is sometimes the only way to comprehensively imagine the current processes over huge territories. The main question of remote sensing data application is the accuracy of methods used to obtain certain land characteristics. The joint analysis of ground and satellite data is indispensable at all the remote sensed algorithm development stages. In the current chapter the new index of land degradation assessment is described. The index has been under development for several years and has strong ground-truth support with data gathered in the arid zone of Kazakhstan. The new index considers the condition of plant cover, the moistening regime, and bare soil’s spectral parameters. Initially developed for Landsat-8 data in south-eastern Kazakhstan, the index was applied for the entire arid zone of Kazakhstan. There is no doubt, the new index could be of use at various applications related to the problem of environmental degradation all over the arid belt of Eurasia, where the problem of aridization becomes most actual for Asian countries.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
DeJong R, DeBruin S, Schaepman M, Dent D (2011) Quantitative mapping of global land degradation using Earth observations. Int J Remote Sens 32(21):6823–6853
Ibrahim YZ (2017) Vegetation and land cover change in the context of land degradation in sub-saharan West Africa. University of Leicester, 179 pp
Torrion JA (2002) Land degradation detection, mapping and monitoring in the Lake Naivasha Basin, Kenya. International Institute for Geo-Information Science and Earth observation Enschede, the Netherlands, 93 pp
Hill J, Sommer S, Mehl W, Megier J (1995) Use of Earth observation satellite data for land degradation mapping and monitoring in Mediterranean ecosystems: towards a satellite-observatory. Environ Monitor Assess 37(1–3):143–158
Hennemann R (2001) Elective on land degradation, assessment, monitoring and modelling. Soil Science Division, ITC, Enschede, The Netherlands
UNCCD (1994) Elaboration of an international convention to combat desertification in countries experiencing serious drought and/or desertification, particularly in Africa. UN, Bonn
GLASOD (1988) Guidelines for general assessment of the status of human induced soil degradation: Global Assessment of Soil Degradation GLASOD, ISRIC, Wageningen, The Netherlands, p 25
Hill J, Megier J, Mehl W (1995) Land degradation, soil erosion and desertification monitoring in Mediterranean ecosystems. Remote Sens Rev 12(1–2):107–130
DeJong SM (1994) Applications of reflective remote sensing for land degradation studies in a mediterranean environment. Utrecht University, Utrecht, The Netherlands, 250 pp
Lal R, Stewart BA (1985) Soil degradation: a global threat. In: Lal and Stewart (eds) Soil degradation, vol 2. Advances in soil science. Springer, New York, pp 13–17
Dregne H (1998) Land degradation: assessment and monitoring. Int Taskforce Land Degradation 32
Elhag MM (2006) Causes and impact of desertification in the Butana Area of Sudan. Bloemfontein, 190 pp
Foth HD (1991) Fundamentals of soil science. Wiley, 382 pp
Ahmad N, Pandey P (2018) Assessment and monitoring of land degradation using geospatial technology in Bathinda district, Punjab, India. Solid Earth 9:75–90
Metternicht G, Zinck A (2008) Remote sensing of soil salinization: impact on land management. CRC Press, Boca Raton, 377 pp. https://doi.org/10.1201/9781420065039
Vågen G, Winowiecki LA (2019) Predicting the spatial distribution and severity of soil erosion in the global tropics using satellite remote sensing. Remote Sens 11:1800. https://doi.org/10.3390/rs11151800
Zha Y, Gao J, Ni S, Liu Y, Jiang J, Wei Y (2003) A spectral reflectance-based approach to quantification of grassland cover from Landsat TM imagery. Remote Sens Environ 87:371–375
Okin GS, Murray B, Schlesinger WH (2001) Degradation of sandy arid shrubland environments: observations, process modelling and management implications. J Arid Environ 47:123–144
Bekmuhamedov EL, Rysimbetov TK, Assanov AA, Bekmukhamedova NZ (2010) Pasture resources of Kazakhstan. Shymkent, 332 pp
Botanical geography of Kazakhstan and Middle Asia (Desert region) (2003) (Rachkovskaya EI, Volkova EA, Khramtsov VN (eds)), Saint Petersburg, 424 pp
Pogrebenskiy MA (1963) The valley of Ile River, its nature and resources. Alma-Ata, pp 252–260
Plissak RP (1981) Change in the vegetation of the Ili River Delta under flow overregulation. Alma-Ata, 216 pp
Rachkovskaya EI (1993) Vegetation of the Gobi Deserts of Mongolia. Saint Petersburg, 132 pp
Rachkovskaya EI (1995) On the desert type of vegetation. Bot J 80(9):53–58
Prozorovsky AV (1935) On the zonal types of deserts in Soviet Middle Asia. Izvestya Gosudarstvennogo Geographicheskogo Obschestva 3:318–331
Kottek M, Grieser J, Beck C, Rudolf B, Rubel F (2006) World Map of the Köppen-Geiger climate classification updated. Meteorol Z 15(3):259–263
Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 11:1633–1644
Kurochkina LY, Osmanova LT, Karibayeva RN (1986) Fodder plants of deserts of Kazakhstan. Alma-Ata, 206 pp
Dimeyeva LA, Stogova LL (2001) Natural pastures of Kazakhstan. Almaty, pp 143–144
Zobler L (1986) A world soil file for global climate modeling. NASA Tech. Memo. 87802, 33 p
Bizhanova G, Kurochkina LY (1989) Anthropogenically induced changes of Moinkum Desert pastures and pasture cartography. Alma-Ata, 164 pp
Akiyanova FZ, Kurochkina LY (2006) The desertification as a process of land degradation. Almaty 3:197–254
Fadhil AM (2009) Land degradation detection using geo-information technology for some sites in Iraq. J Al-Nahrain Univ 12(3):94–108. https://doi.org/10.22401/JNUS.12.3.13
Malakhov DV, Islamgulova AF (2014) The quantitative interpretation of pasture image parameters: an experience with low and moderate spatial resolution remotely sensed data application. Optika Atmosfery i Okeana 27(7):587–592
McFeeters SK (1996) The use of normalized difference water index (NDWI) in the delineation of open water features. Int J Remote Sens 17:1425–1432
Kogan FN (1990) Remote sensing of weather impacts on vegetation in non-homogeneous areas. Int J Remote Sens 11:1405–1419
Kogan FN (1996) Global drought watch from space. Bull Amer Meteorol Soc 78(4):621–636
Kapalanga TS (2008) A review of land degradation assessment methods. Land Restoration Training Programme, Keldnaholt, 112 Reykjavík, Iceland, pp 17–68
Ajorlo M (2005) Evaluation and mapping of rangelands degradation using remotely sensed data. Sociedade & Natureza, Uberlândia, Special Issue 727–735
Hoshino B, Kaneko M, Matsunaka T, Ishii S, Shimada Y, Ono C (2009) A comparative study of pasture degradation of Inner Mongolian fenced and unfenced land based on remotely sensed data. J Rakuno Gakuen Univ 34(1):15–22
Al-Bakri J, Saoub H, Nickling W, Suleiman A, Salahat M, Khresat S, Kandakji T (2012) Remote sensing indices for monitoring land degradation in a semi-arid to arid basin in Jordan. In: Civco DL, Ehlers M, Habib S, Maltese A, Messinger D, Michel U, Nikolakopoulos KG, Schulz K (eds) Earth resources and environmental remote sensing/GIS applications III. Proceedings of SPIE 8538 853810. https://doi.org/10.1117/12.974333
Liu Y, Zha Y, Gao J, Ni S (2004) Assessment of grassland degradation near Lake Qinghai, West China, using Landsat TM and in situ reflectance spectra data. Int J Remote Sens 25(20):4177–4189. https://doi.org/10.1080/01431160410001680419
Karnielia A, Bayarjargala Y, Bayasgalan M, Mandakh B, Dugarjav Ch, Khudulmur J, Bazha SN, Gunin PD (2013) Do vegetation indices provide a reliable indication of vegetation degradation? A case study in the Mongolian pastures. Int J Remote Sens 34(17):6243–6262. https://doi.org/10.1080/01431161.2013.793865
Lu D, Batistella M, Mausel P, Moran E (2007) Mapping and monitoring land degradation risks in the Western Brazilian Amazon using multitemporal Landsat TM/ETM+ images. Land Degrad Develop 18:41–54
Bai ZG, Dent DL, Olsson L, Schaepman ME (2008) Proxy global assessment of land degradation. Soil Use Manag 24:223–234. https://doi.org/10.1111/j.1475-2743.2008.00169.x
Fadhil AM (2011) Drought mapping using Geoinformation technology for some sites in the Iraqi Kurdistan region. Int J Digital Earth 4(3):239–257. https://doi.org/10.1080/17538947.2010.489971
Tagore GS, Bairagi GD, Sharma NK, Sharma R, Bhelawe S, Verma PK (2012) Mapping of degraded lands using remote sensing and GIS techniques. J Agric Phys 12(1):29–36
Pandey PC, Rani M, Srivastava PK, Sharma LK, Nathawat MS (2013) Land degradation severity assessment with sand encroachment in an ecologically fragile arid environment: a geospatial perspective. QScience Connect 43. https://doi.org/10.5339/connect.2013.43
Homère A, Mfondoum N, Etouna J, Nongsi BK, Moto FA, Deussieu FGN (2016) Assessment of land degradation status and its impact in arid and semi-arid areas by correlating spectral and principal component analysis neo-bands. Int J Adv Remote Sens GIS 5(2):1539–1560
Mjachina KV, Malakhov DV (2013) An experience of moderate spatial resolution remote sensing data application for the discrimination of oil industry objects within technogenic modified landscapes (Orenburg region as example). Izvestya Samarskogo nauchnogo centra RAS 15(7):2260–2265
Acknowledgements
N. N. Karabkina (NCSRT, Kazakhstan) collected and processed meteorological data; A. F. Islamgulova (“Turan” University, Kazakhstan), A. Aysarova (NCSRT, Kazakhstan), R. Iskakov (NCSRT, Kazakhstan), N. E. Bekmuhamedov (NCSRT, Kazakhstan), provided valuable assistance during field expeditions; N. I. Berdygulov (NCSRT, Kazakhstan) helped with satellite data collecting and preprocessing. The work on the CDI development has been initiated in the framework of the project “Development and improvement of methods and technologies for thematic decryption of remote sensing data of the earth and calibration of remote sensing equipment using sub-satellite observations at test sites” associated to the Republic Program “Applied research in the field of space activities” in 2013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Malakhov, D., Batyrbayeva, M., Vitkovskaya, I. (2022). A New Method for Land Degradation Assessment in the Arid Zone of Republic of Kazakhstan. In: Al-Quraishi, A.M.F., Mustafa, Y.T., Negm, A.M. (eds) Environmental Degradation in Asia. Earth and Environmental Sciences Library. Springer, Cham. https://doi.org/10.1007/978-3-031-12112-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-12112-8_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-12111-1
Online ISBN: 978-3-031-12112-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)